Building Data Science Solutions With Anaconda (2025)

❌ → python=3 may pull 3.12 unexpectedly. Always specify minor version: python=3.10 .

conda env remove -n old-env

jupyter notebook Your notebook automatically uses the correct kernel. import pandas as pd from sklearn.ensemble import RandomForestClassifier import joblib df = pd.read_csv("data/raw/churn.csv") X = df.drop("churn", axis=1) y = df["churn"] building data science solutions with anaconda

conda install tensorflow-gpu cudatoolkit cudnn # TensorFlow conda install pytorch torchvision torchaudio cudatoolkit=11.7 -c pytorch # PyTorch conda env export > environment.yml This YAML file can be shared or version-controlled. A collaborator recreates the exact environment with: ❌ → python=3 may pull 3

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